Trends in the French commercial farm population
Abstract.Knowledge and projection of farm numbers and the structure of their population is an important issue for agricultural economists and policy makers. Although Markov chain models have enjoyed decades of popularity in forecasting total farm numbers, they generally fail to provide a detailed insight of the farm population’s structure; to overcome this caveat we estimate a parametric distribution of the utilized agricultural area of French commercial farms. Our method provides detailed information on the structure of the population and accounts for the specificity of off-land farming. We also model the influence of variables such as the farm’s legal status, type of farming and farm holder’s age. The estimation leads to a relevant description of the entire population of professional farm. When compared with the 2005 Farm Structure Survey data, our simulations based on FADN data display a close match across a number of key variables.
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Bibliographic InfoPaper provided by INRA UMR SMART in its series Working Papers SMART - LERECO with number 10-04.
Date of creation: 2010
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farm structures; farm size distribution; maximum likelihood; simulation;
Other versions of this item:
- Madior Fall & Laurent Piet & Muriel Roger, 2010. "Trends in the French commercial farm population," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(3), pages 279-295.
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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- Karantininis, Kostas, 2002.
"Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry,"
Journal of Econometrics,
Elsevier, vol. 107(1-2), pages 275-290, March.
- Karantininis, Kostas, 2001. "Information Based Estimators for the Non-Stationary Transition Probability Matrix: An Application to the Danish Pork Industry," Unit of Economics Working papers 24198, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
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